Amira Ashmawy

Data Scientist

https://talent.gravityer.com/amira-ashmawy

Backend developer

remotelyMember since June 27, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'Deep_learning_Course' and 'EmotionDetection'.
Exposure to Python, a core language for Data Science, in multiple projects.
Experience with Jupyter Notebook, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a broad interest in various technologies (TypeScript, JavaScript, Python, R, C++, Java, Ruby). While this indicates curiosity, the lack of professional experience and specific team-based projects makes it difficult to assess cultural fit comprehensively. The projects are diverse but lack depth in collaborative environments.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

airQuality

May 3, 2023 – May 3, 2023

RestApi for airQuality

View Project

appointment

July 13, 2021 – July 13, 2021

appointment — GitHub repository

View Project

Deep_learning_Course

March 19, 2020 – October 6, 2020

Deep learning algorithms

View Project

python_scripts

February 27, 2020 – February 29, 2020

python_scripts — GitHub repository

View Project

Organize-suffex

December 26, 2019 – December 26, 2019

create folders for each suffix

View Project

EmotionDetection

June 4, 2017 – June 18, 2017

detect emotions by text

View Project

DecisionTree

June 4, 2017 – September 21, 2017

DecisionTree — GitHub repository

View Project

Atom-and-Space

January 28, 2017 – February 14, 2017

Educational and scientific VR

View Project

SoundDetection

August 15, 2016 – August 27, 2016

SoundDetection — GitHub repository

View Project

WAScookbook

July 29, 2016 – June 18, 2017

WAScookbook — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'Deep_learning_Course' and 'EmotionDetection'.
Exposure to Python, a core language for Data Science, in multiple projects.
Experience with Jupyter Notebook, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Amira Ashmawy

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit